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crop-disease

Here are 35 public repositories matching this topic...

An intelligent crop disease detection system powered by YOLO and DeepSeek.一个由 YOLO 和 DeepSeek 驱动的智能农作物病害检测系统。采用 Vue.js、Spring Boot 和 Flask 构建的全栈微服务架构,支持对图片、视频和实时摄像头画面的病害进行实时分析。

  • Updated Jan 8, 2026
  • Vue

🌿 AI-powered plant disease detection system using MobileNetV2 transfer learning. Detects 38 plant diseases across 14 crops with 98.55% accuracy. Built with TensorFlow, Keras, and Streamlit. Includes trained model, sample dataset, and web interface.

  • Updated Dec 20, 2025
  • Python

Symptom-based crop disease predictor + agricultural analytics dashboard for wheat, cotton, and sugarcane. Built with Flask and Pandas, with a visual symptom library and yield/production trend charts. Lightweight - no camera, no image upload, works on low-bandwidth connections.

  • Updated Apr 21, 2026
  • HTML

AI-powered plant disease detection & treatment system using MobileNetV3, TensorFlow Lite, and Flutter — 38-class deep learning with on-device inference for smart agriculture.

  • Updated Aug 17, 2026
  • Dart
Plant-Disease-Recognition-System

Phyto Lab is a Flask-based plant disease recognition system that uses machine learning to identify plant diseases from images, with support for batch uploads, user authentication, history tracking, multilingual UI, and AI-powered fallback analysis.

  • Updated Apr 23, 2026
  • HTML

A lightweight Python deep learning framework for precision agriculture. It leverages a CNN autoencoder to detect mixed pixels in thermal images, enabling early crop disease detection with robust metrics (MPP, SSIM, MSE) and scalable design.

  • Updated Mar 4, 2025
  • Jupyter Notebook

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